Data Analyst 2

Braintree • Chicago, IL

263d • $93,974 - $148,100 • Remote

About The Position

Bill Me Later, Inc., a wholly owned subsidiary of PayPal, Inc., seeks Data Analyst 2 in Chicago, IL. The role involves applying advanced statistical techniques and algorithms on complex datasets to build statistical or financial models for predicting risk and revenue, driving actionable business insights for Bill Me Later, Inc. (BML) product or customer level credit risk management. The analyst will mine data covering a wide range of information from user profiles to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, and simulations. The position also requires leveraging data to support BML's Cobrand Card business program and insights via monitoring and reporting on scalable and flexible platforms. Additionally, the role includes conducting a 360-credit risk framework that covers risk lifecycle metrics and customer experience and engagement metrics for decision-making, driving cross-team collaboration, and providing ongoing performance overviews to the senior leadership team. The analyst will carry out independent research and innovation in new content, machine learning, and technological domains, troubleshoot any data, system, and flow challenges while maintaining flawless strategy execution. Partial telecommuting is permitted from within a commutable distance.

Requirements

• Master's degree or foreign equivalent in Computer Science, Statistics, Mathematics or a related field.
• One year of experience in the job offered or a related occupation.

Nice To Haves

• Machine learning (model development/deployment; optimization including parameter tuning, dimension reduction, feature selection, and model validation).
• Predictive analytics and segmentation (classification models, regression models, and statistical analysis).
• Experimental design (A/B testing).
• Profit & Loss (P&L) analytics.
• Credit risk management / credit risk analytics.
• Credit bureau analytics.
• Python (pandas, numpy, and sklearn packages).
• SQL tools: Google Big Query and Teradata.
• Data visualization (Tableau, Amplitude, and Q-monitor).
• Database management: Big data and cloud (Hadoop, Hive, Stampy, Teradata, and Google Big Query).

Responsibilities

• Apply advanced statistical techniques and algorithms on complex datasets.
• Build statistical or financial models for prediction of risk and revenue.
• Drive actionable business insights for BML product or customer level credit risk management.
• Mine data from user profiles to transaction details to solve risk problems.
• Leverage data to support BML's Cobrand Card business program.
• Conduct a 360-credit risk framework covering risk lifecycle metrics.
• Drive cross-team collaboration.
• Provide ongoing performance overviews to senior leadership.
• Conduct independent research and innovation in new content and ML domains.
• Troubleshoot data, system, and flow challenges.

Benefits

• Flexible work environment.
• Employee shares options.
• Health and life insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Personal and Laundry Services
• Education Level: Master's degree